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75 Cards in this Set

  • Front
  • Back
Statistics
the branch of mathematics that involves the collection, analysis and interpretation of data
Descriptive Statistics
Procedures used to summarize a set of data
Inferential Statistics
Procedures used to analyze data after an experiment is completed in order to determine whether the independent variable has a significant effect.
Measurement
The assignment of symbols to events according to a set of rules
Scale of measurement
A set of measurement rules
Ordinal Scale
A scale of measurements that permits events to be rank ordered
Interval Scale
A scale of measurement that permits rank ordering of events with the assumption of equal intervals between adjacent events
Ratio Scale
A scale of measuremtn that permits rank ordering of events with the assumptions of equal intervals between adjacent events and a true zero point
Mode
The score in a distribution that occurs most often
median
The number that divides a distribution in half
Mean
The arithmetic average of a set of numbers; found by adding all the scores in a set and then dividing by the number of scores
Pie Chart
Graphical representation of the percentage allocated to each alternative as a slice of circular pie
HIstogram
A graph in which the frequency for each category of a quantitative variable is represented a vertical column that touches the adjacent column
Bar graph
A graph in which the frequency for each category of a qualitative variable is represented as a vertical column. The columns of a bar graph do not touch
Frequency Polygon
A graph that is constructed by placing a dot in the center of each bar of a histogram and then connecting the dots
Line Graph
A graph that is frequently used to depict the results of an experiment
Ordinate
The vertical or y axis of a graph
Abscissa
The horizontal or x axis of a graph
Variability
The extent to which scores spread out around the mean
Range
A measure of variability that is computed by subtracting the smallest score from the largest score
Variance
A single number that represents the total amount of variation in distribution; also the square of the standard deviation
Standard Deviation
Square root of the variance; has important relations to the normal curve
Normal Distribution
A symmetrical, bell-shaped distribution having half the scores above the mean and half the scores below the mean
Correlation coefficient
A single number representing the degree of relation between two variables
Null Hypothesis
A hypothesis that says that all differences between groups are due to chance (i.e. not the operation of the IV)
T-test
An inferential statistical test used to evaluate the difference between two means.
Degrees of Freedom
The ability of a number in a specified set to assume any value
Type I Error
Accepting the experimental hypothesis when the null hypothesis is true
Type II Error
Accepting the null hypothesis when the experimental hypothesis is true
Effect Size
The magnitude or size of the experimental treatment
Experimental Design
The general plan for the selecting participants, assigning participants to experimental conditions, controlling extraneous variables, and gathering data
Principle of parsimony
The belief that explanations of phenomena and events should remain simple until the simple explanations are no longer valid
Independent Variable
A stimulus or aspect of the environment that the experimenter directly manipulates to determine its influences on behavior
Dependent Variable
A response or behavior that the experimenter measures. Changes in the DV should be caused by manipulation of the independent variable (IV).
Extraneous Variable
Uncontrolled variables that my unintentionally influence the dependent variable (DV) and thus invalidate an experiment
Levels
Differing amounts or types of an IV used in an experiment (also known as treatment conditions)
Experimental Group
In a two-group design, the group of participants that receives the IV.
Control Group
In a two group design, the group of participants that does not receive the the IV
Random Assignments
A method of assigning research participants to groups so that each participant has an equal chance of being in any group.
Random Selection
A control technique that ensures that each member of the population has an equal chance of being chosen for an experiment
Independent Groups
Groups of participants formed by random assignment
Between-Subjects Comparison
Refers to a contrast between groups of participants who were randomly assigned to groups
Confounded Experiment
An experiment in which an extraneous variable varies systematically with the IV, which makes drawing a cause-and-effect relation impossible
Correlated Assignment
A method of assigning research participants to groups so that there is a relationship between small numbers of participants; these small groups are then randomly assigned to treatment conditions (also known as paired or matched assignment)
Matched Pairs
Research participants in a two-group design who are measured and equated on some variable before the experiment.
Repeated Measures
An experimental procedure in which research participants are tested or measured more than once.
Natural Pairs
Research participants in a two-group design who are naturally related in some way (e.g. a biological or social relationship).
Within-subjects comparison
Refers to a contrast between groups of participants who were assigned to groups through matched pairs, or natural pairs, or repeated measures
Between-groups variability
Variability in the DV scores that is due to the effects of the IV
Error Variability
Variability in DV scores that is due to factors other than the IV, such as individual differences, measurement error and extraneous variation.
Degrees of Freedom
The ability of a number in a specified set to assume any value.
True Experiment
An experiment in which the experimenter directly manipulates the IV
Ex Post Facto Research
A research approach in which the experimenter cannot directly manipulate the IV but can only classify, categorize, or measure the IV because it is predetermined in the participants (e.g. IV=Sex)
Homogeneity of Variance
the assumption that the variances are equal for the two (or more) groups you plan to compare statistically
Heterogeneity of Variance
Occurs when we do not have homogeneity of variance; this means that our two (or more) groups' variances are not equivalent.
Robust
Refers to a statistical test that can tolerate violation of its assumptions (e.g. homogeneity of variences) and still yield valid results.
Positive Correlation
As scores on one variables increase, scores on the second variable also increase.
Negative Correlation
As scores on one variable increase, scores on the second variable decrease
Experimental Design
The general plan for selecting participants, to experimental conditions, controlling extraneous variables, and gathering data.
Independent Variable (IV)
A stimulus or aspect of the environment that the experimenter directly manipulates to determine its influence on behavior.
Treatment groups
Groups of participants that receive the IV
Independent Groups
Groups of participants formed by random assignment
Correlated Groups
Groups of participants formed by matching, natural pairs, or repeated measures.
Control Procedure
One of several steps experimenters take to ensure that potential extraneous variables are controlled, including random assignment, matching etc.
Matching Variable
A potential extraneous variable which measure our research participants and from which we form sets of participants who are equal on the variable
Placebo Effect
An experimental effect caused by expectation or suggestion rather than the IV
One-way ANOVA
A statistical test used to analyze data from an experimental design with one independent variable that has three or more groups.
Completely randomized ANOVA
This one-way ANOVA uses independent groups of participants
Repeated-Measures ANOVA
this one-way anova uses correlated groups of participants
Operational Definition
Defining the independent, dependent, and extraneous variables in terms of the operations needed to produce them.
Source Table
A table that contains the results of ANOVA. Source refers to the source of the different types of variation.
Sum of Squares
The amount of variability in the DV attributable to each source
Mean Square
The averaged variability in the DV attributable to each source.
Post Hoc comparisons
Statistical comparisons made between group means after finding a significant F ratio.
Asymptotic
Refers to tails of distributions that approach the baseline but never touch the baseline.